Sentence examples for data-driven measurement from inspiring English sources

As a data-driven measurement method, the ICM&M algorithms are strengthened by incorporating empirical values obtained from experimental observations to guarantee realistic solutions, and they are particularly useful in real time when limited resource is accessible for online computation.

Use data-driven measurement of loyalty and acquisition campaigns to help build evidence of the value of investing in your loyal customers.

The data-driven measurement and predictive analytics technologies that launched adtech and expanded to marketing are now being applied to nearly everything — and yet, it's easy to forget the road that led here.

The data-driven measurement and predictive analytics technologies that launched adtech and expanded to marketing are now being applied to nearly everything — and yet, it's easy to forget the road that led here.

To sum up, the biological engineering big data-driven embedded measurement architecture is shown in Fig. 2.

"Section 2" describes the big data-driven biological embedded engineering measurement model.

It is possible that a data-driven modification of the measurement model and a post hoc adaptation of the instruments (e.g., through allowing for correlated error terms between items within the scales) would have led to a better global fit.

A prototype software has been designed and implemented which, when given an electronic process schematic of a plant and results from a data-driven analysis of process measurements, allows the user to pose queries about the plant and to find root causes of plant-wide disturbances.

Nonetheless, he believes that data-driven improvements in technical-skill measurement could profoundly transform the practice of surgery.

In generally, since the harmful intrusion signals only account for a small part of whole measurements, the data-driven process reduces the amount of input data for subsequent task-driven process considerably.

At first, data-driven process takes all the measurements collected by the system as input signals, which is handled by detection method to locate the harmful intrusion in both spatial domain and time domain.